RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals

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RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals

Bray, Timothy; Minore, Giulio; Bainbridge, Alan; Dwyer-Hemmings, Louis; Taylor, Stuart; Hall-Craggs, Margaret; Zhang, Hui; (2025) RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals. Machine Learning for Biomedical Imaging (In press).

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Type:	Article
Title:	RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals
Publisher version:	https://www.melba-journal.org/
Language:	English
Additional information:	This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification:	UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
URI:	https://discovery.ucl.ac.uk/id/eprint/10213943

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